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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ogunfunmi, A.O. |
| Copyright Year | 1992 |
| Description | Author affiliation: Dept. of Electr. Eng., Santa Clara Univ., CA, USA (Ogunfunmi, A.O.) |
| Abstract | Performance comparisons of the forward-backward LMS (FBLMS) adaptive algorithm and the split-path LMS (SPLMS) adaptive algorithm are presented. Typical simulation results are shown for the adaptive line enhancement application. It is shown that the FBLMS algorithm uses both forward and backward linear prediction errors in two different filters. The FBLMS algorithm converges at the same speed as the LMS, but gives about half the misadjustment and about twice the number of computations. The SPLMS algorithm also uses both forward and backward linear prediction errors, but splits the filter in two to maintain about the same number of computations. The SPLMS algorithm converges faster than the LMS, but gives some misadjustment and requires a few more additions. |
| Starting Page | 512 |
| Ending Page | 516 |
| File Size | 257214 |
| Page Count | 5 |
| File Format | |
| ISBN | 0818631600 |
| ISSN | 10586393 |
| DOI | 10.1109/ACSSC.1992.269219 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-10-26 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Least squares approximation Adaptive filters Adaptive algorithm Line enhancers Convergence Vectors Error correction Radio access networks Finite impulse response filter Signal generators |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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